This change adds the faultspace-plotting scripts into FAIL*'s tools/analysis/ folder and makes it CMake-configurable. Change-Id: I9364a448a33853520629291721a6ed6d4e82eb32
111 lines
3.4 KiB
Python
Executable File
111 lines
3.4 KiB
Python
Executable File
#!/usr/bin/env python
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# -------------------------------------------------------------------------
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# Import modules
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import csv, sys
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import matplotlib.pyplot as plt
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import numpy as np
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import matplotlib.patches as mpatches
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import matplotlib.pylab as pylab
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ENTRY_COUNT_PER_LINE = 6
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RESULT_RECT_HEIGHT = 1.0/8
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# -------------------------------------------------------------------------
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# Basic drawing class
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class Rectangle:
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def __init__(self, x, y, w, h, color):
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# w
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self.xpos = x # |-------------------|
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self.ypos = y # | | h
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self.width = w # | |
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self.height = h # (x,y)---------------|
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self.color = color # fill color
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self.alpha = None # transparency level [0,1]
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def draw(self):
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""" Draw the rectangle. """
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if self.color == (1,1,1):
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return
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tmp = self.xpos, self.ypos,
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p = mpatches.Rectangle(tmp, self.width, self.height, color=self.color, \
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alpha=self.alpha)
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plt.gca().add_patch(p)
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# -------------------------------------------------------------------------
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# Check provided arguments:
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if len(sys.argv) <= 1:
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print "ERROR: Not enough arguments provided! See -h for more infos."
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exit(1)
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if sys.argv[1] == '-h':
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print "Displays experiment results for the weather-monitor-experiment."
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print " CALL-SYNTAX: fsp.plot.py DATA_FILE [USER_TAG_FILE]"
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print "DATA_FILE is a CSV-file, storing the tab-separated values"
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print "retrieved by the experiment run. USER_TAG_FILE is an optional"
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print "CSV-file which can be used to add user-specific marks to the"
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print "plot (not implemented yet)." # TODO: be more precise here
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exit(0)
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print "WARNING: This script needs a newer version of Matplotlib for axis label rotation; run this on Ubuntu 12.10 or alike."
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print "Opening and processing \"" + sys.argv[1] + "\"..."
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file = open(sys.argv[1], "r")
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dialect = csv.Sniffer().sniff(file.read(1024))
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file.seek(0)
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reader = csv.reader(file, dialect)
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reader.next() # Move down a line to skip the header
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fig = plt.figure()
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xmin = 99999999
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xmax = 0
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ymin = 99999999
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ymax = 0
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line_counter = 1
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for row in reader:
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line_counter += 1
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# Check if there are at least ENTRY_COUNT_PER_LINE entries per line:
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if len(row) != ENTRY_COUNT_PER_LINE:
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print "ERROR: Line " + str(line_counter) + " is invalid (" +\
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str(ENTRY_COUNT_PER_LINE) + " entries expected)"
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sys.exit(1)
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# Some constants to access the row-entries much easier:
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IDX_INSTR1 = 0; IDX_INSTR2 = 1; IDX_DATA_ADDRESS = 2;
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IDX_BITNR = 3; IDX_BITWIDTH = 4; IDX_COLOR = 5;
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# Update xmin/xmax/ymin/ymax
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x1 = int(row[IDX_INSTR1])
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x2 = int(row[IDX_INSTR2]) + 1 # inclusive
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width = x2 - x1
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if xmin > x1:
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xmin = x1
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if xmax < x2:
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xmax = x2
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y1 = float(row[IDX_DATA_ADDRESS]) + float(row[IDX_BITNR]) / 8.0
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height = float(row[IDX_BITWIDTH]) / 8.0
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y2 = y1 + height
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if ymin > y1:
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ymin = y1
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if ymax < y2:
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ymax = y2
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Rectangle(x1, y1, width, height, row[IDX_COLOR]).draw()
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if line_counter == 50000: # debug stuff
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pass
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#break
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ymin = int(ymin / 1000) * 1000
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file.close()
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plt.xlim(xmin, xmax)
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plt.ylim(ymin, ymax)
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plt.ylabel('Data Memory (RAM)')
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plt.xlabel('Time (Cycles)')
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plt.show()
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#pylab.savefig('baseline.pdf', bbox_inches='tight')
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